Verified:GitHub

results-analysis

Analyzes MR</html>ES data and produces formatted results for publication.

21|4|Updated Mar 14, 2026

Search Tags:#data visualization #causal inference #statistical analysis #results section #econometrics #regression tables

Ready to run

npx skills add https://github.com/HaipingXu/social-science-claude-scholar --skill results-analysis-haipingxu

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: results-analysis
Source: https://github.com/HaipingXu/social-science-claude-scholar/tree/main/skills/results-analysis
Command: npx skills add https://github.com/HaipingXu/social-science-claude-scholar --skill results-analysis-haipingxu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of analyzing empirical results from social science research, transforming raw statistical output into publication-ready tables, figures, and narrative text.

Core Features & Use Cases

Assumption Checks: Validates identification assumptions for DID, IV, RDD, and Synthetic Control designs.
Table Generation: Creates LaTeX regression tables adhering to social science journal standards.
Visualization: Produces publication-quality plots like event studies, coefficient plots, and RD plots.
Results Section Drafting: Assists in writing the empirical results section of a paper, interpreting magnitudes and linking findings to theory.
Use Case: After running regressions in Stata or Python, use this Skill to automatically generate a clean regression table, check pre-trends, plot the event study, and draft the initial text for your Results section.

Quick Start

Use the results-analysis skill to analyze the empirical results from the file 'regression_output.smcl'.

Frequently Asked Questions about results-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I generate publication-ready regression tables from Stata or Python output?▼

You can generate publication-ready regression tables by processing raw statistical output from Stata or Python. This Skill automates converting results into LaTeX tables that strictly adhere to social science journal standards for econometrics and political science publications.

What is the best way to check identification assumptions for DID, IV, and RDD designs?▼

Checking identification assumptions for DID, IV, and RDD designs is automated by this Skill. It validates pre-trends and other specific assumptions required for credible inference in social science research, ensuring your empirical strategy meets academic standards.

Can I automatically draft the empirical results section of my research paper?▼

Yes, you can automatically draft the empirical results section of your research paper. This Skill interprets coefficient magnitudes, links findings back to theoretical frameworks, and generates narrative text suitable for social science publications directly from your regression output.

How do I create event study and coefficient plots for causal inference designs?▼

Creating event study, coefficient, and RD plots for causal inference designs is handled by this Skill. It transforms raw statistical output into publication-quality visualizations that clearly demonstrate pre-trends and treatment effects for social science research.

Does this tool support Synthetic Control and RDD methodologies for data visualization?▼

Yes, this tool fully supports Synthetic Control and RDD methodologies for data visualization. It produces publication-quality plots and performs identification checks specifically tailored to these advanced causal inference techniques alongside standard DID and IV designs.

What statistical output formats can I analyze for my econometrics results section?▼

You can analyze statistical output formats like Stata's smcl files or Python regression outputs. The Skill processes these raw empirical results to validate causal inference assumptions, generate LaTeX tables, and draft the corresponding econometrics results section text.